Theo S.
Reads LinkedIn for buying signals all day. Drafts a three-touch sequence in your voice that cites the post.
Theo is the LinkedIn outreach specialist on the GTM team. He pulls posts from your ICP, filters for buying signals (pipeline pain, headcount changes, tool churn), enriches the profile, and drafts a three-touch sequence in your voice. Touch 1 always cites a real fact from the prospect — no templates, no spray.
What Theo shipped
Theo produces real artifacts. Not summaries.
Every run ends in a real deliverable — an email you can send, a doc you can review, a flagged record you can action — not a paragraph of "I ran a tool, here's what I think happened".
LinkedIn DM · Touch 1 of 3 · in your voice ready
Maya Chen
VP of Sales · Acme · Series B · 240 ppl
“Hi Maya — caught your Tuesday post on pipeline missing 40% of plan. That gap is exactly what we fixed for Linear last quarter: AEs went 3.2 → 4.7 meetings/week in six weeks, no extra hires. Worth 15 min to see if the pattern holds for Acme?”
+ 6 more drafted ·approve to send
Skills
How Theo works.
Listens for signals
Filters LinkedIn for ICP-fit profiles posting about pipeline pain, quota miss, layoff, tool change.
Drafts in your voice
Pulls voice/tone.md from the vault, picks customer proofs that match the prospect, writes touch 1.
Three-touch cadence
Touch 1 cites the post. Touch 2 ships a proof asset. Touch 3 closes with a specific ask. Caps prevent spam.
Approval queue
Drafts land in /drafts/linkedin. You scan, edit, and approve from your phone. Zero auto-send by default.
Tools Theo uses
Native, no Zapier in the middle. Tool calls land in the audit log.
LinkedIn (Unipile)ApolloSlackVault
One real run
Watch Theo work.
Theo S.
LinkedIn Outreach · GTM
Find VPs of Sales who posted about pipeline pain this week. 3-touch sequence in my voice.
done · 4.2s · $0.07
7 sequences in your queue. Top match: Maya Chen — touch 1 references her Tuesday post + our Linear → Acme migration story.
audit trail · 5 steps[show]
Filter LinkedIn for the ICP, last 7d, pipeline-pain language. Enrich. Compose 3 touches per match.
→ linkedin_search · last_7d · pipeline OR quota
→ apollo.enrich · 19 profiles
→ vault.read · us/voice/tone.md
→ compose_sequence · 7 × 3 touches
Theo · today
Sequences drafted today
47+18%
Reply rate (touch 1)
11.4%+4.2pp
Cost / sequence
$0.07
Same team
Theo works with the rest of GTM.
Hire Theo this week.
Theo ships in your custom AI company on day one. Or run them yourself, open-source, on your laptop.